ASUS System Product Name
Geekbench ML Score
19069
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 03 2024 05:02 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10333
1.93 KIPS |
|
|
Image Classification (F16)
|
100% |
10226
1.91 KIPS |
|
|
Image Classification (I8)
|
100% |
8390
1.57 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11872
198.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
11970
199.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
10784
180.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
152251
184.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
152223
184.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
134654
163.1 IPS |
|
|
Object Detection (F32)
|
100% |
6299
470.3 IPS |
|
|
Object Detection (F16)
|
100% |
5739
428.5 IPS |
|
|
Object Detection (I8)
|
56% |
5822
434.7 IPS |
|
|
Face Detection (F32)
|
100% |
31223
371.3 IPS |
|
|
Face Detection (F16)
|
100% |
31268
371.8 IPS |
|
|
Face Detection (I8)
|
89% |
25608
304.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
58992
457.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
53400
414.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
43973
341.0 IPS |
|
|
Style Transfer (F32)
|
100% |
265575
349.3 IPS |
|
|
Style Transfer (F16)
|
100% |
267055
351.3 IPS |
|
|
Style Transfer (I8)
|
98% |
207853
273.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30244
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29597
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21431
765.4 IPS |
|
|
Text Classification (F32)
|
100% |
2477
3.56 KIPS |
|
|
Text Classification (F16)
|
100% |
2549
3.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1614
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
3514
64.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3889
71.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2113
38.9 IPS |
